ML Methods to Predict House Prices in Los Angeles

We developed an accurate house price prediction model in the Los Angeles area with the integration of multiple community/environmental data and local economic indicators. We used various machine learning methods (e.g., support vector, random forest, etc) to make the prediction, and results were visualized on a map.